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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-practical-course-build-real-world-projects/
课程评论：没有评论
课程名称：机器学习实用课程：构建30个项目 课程概述： 机器学习已经深入我们日常生活的方方面面，尽管我们可能未曾察觉。机器学习算法正在为我们周围的世界提供动力，包括沃尔玛的产品推荐、各大金融机构的欺诈检测、Uber的涨价机制，以及LinkedIn、Facebook、Instagram和Twitter等社交媒体上用户信息流的内容推荐，这些都是与我们日常生活息息相关的例子。可以说，未来已经到来，而机器学习在当代的想象中扮演着重要角色。正如马克·库班所说：“人工智能、深度学习、机器学习——无论你在做什么，如果你不理解它，学习它吧。因为否则你将在三年内变成恐龙。” 机器学习在财政和全球层面上均表现出重要性。如果你希望将职业生涯提升到一个新的高度，机器学习能够帮助你实现目标；如果你希望参与到一个具有全球影响力和当代相关性的领域，机器学习同样可以满足你的需求。机器学习的应用领域广泛，包括图像识别、医学、网络安全、人脸识别等。越来越多的企业意识到，商业智能受机器学习的深刻影响，因此选择投入资源。例如，Netflix曾宣布向第一个将其ML算法准确性提高10%的人提供100万美元的奖金。这证明了即使是略微提升机器学习算法也为使用这些算法的公司带来巨大利润。在这个领域工作的人也将受益匪浅！如今，顶级机器学习工程师的薪资与知名运动员相当，毫不夸张！根据Glassdoor的数据，初级机器学习工程师的年薪约为8万印度卢比，而经验丰富的工程师年薪可达15万至23万印度卢比。
Machine learning has inserted itself into the fiber of our everyday lives - even without us noticing. Machine learning algorithms have been powering the world around us, and this includes product recommendations at Walmart, fraud detection at various top-notch financial institutions, surge pricing at Uber, as well as content used by LinkedIn, Facebook, Instagram, and Twitter on users' feeds, and these are just a few examples, grounded directly in the daily lives we live.This being said, it goes without saying that the future is already here - and machine learning plays a significant role in the way our contemporary imagination visualises it. Mark Cuban, for instance, has said: "Artificial Intelligence, deep learning, machine learning - whatever you're doing if you don't understand it - learn it. Because otherwise you're going to be a dinosaur within 3 years."Machine learning makes a mockery of anything that can be called "important" - both at a financial as well as a global scale. If you are looking to take your career to another level, Machine Learning can do that for you. If you are looking to involve yourself in something that will make you part of something that is global as well as contemporary relevance, Machine Learning can do that for you as well.Machine learning covers significant ground in various verticals - including image recognition, medicine, cyber security, facial recognition, and more. As an increasing amount of businesses are realising that business intelligence is profoundly impacted by machine learning, and thus are choosing to invest in it.Netflix, to take just one example, announced a prize worth $1 million to the first person who could sharpen its ML algorithm by increasing its accuracy by 10%. This is sureshot evidence that even a slight enhancement in ML algorithms is immensely profitable for the companies that use them, and thus, so are the people behind them. And with ML, you can be one of them!The best machine learning engineers these days are paid as much as immensely popular sports personalities! And that's no exaggeration! According to Glassdoor, the average machine learning engineer salary is 8 lakhs per annum - and that's just at the starting of one's career! An experienced machine learning engineer takes home anywhere between 15 to 23 lakhs per annum.
